Detecting digits on the image using Convolution Neural Networks

This model takes an image, detects the number plate and then predicts the numbers.

A neural networks that recognise handwritten digits

This is a software that can solve the sudoku puzzle using an image of the puzzle. It uses Computer vision to recognize the puzzle in the image and a machine learning model to recognize the digits in the puzzle. Then a C program solves the puzzle and returns the answer in the puzzle format.

MNIST Handwritten Digit Recognition

Can approach this repository to explore the types of Machine Learning algorithms through projects

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identify digits from MNIST dataset of tens of thousands of handwritten images

A program where you can draw something without a keyboard or a mouse. It does not end here, it will give a random integer to draw, the Neural Network will predict the digit that you drew. The whole program works like a game.

A web-based tool that recognizes handwritten digits and alphabets using a Convolutional Neural Network (CNN) trained on the MNIST and EMNIST datasets. The system is built with Flask and TensorFlow, offering an intuitive interface for character recognition.

Repository for this app :

Digit recognition MNIST with MLP

Digit Recogniser using Keras

Deep Neural Network implementation for recognizing digit using MNIST data set and Tensorflow

Learn to create CNN models in Tensorflow/Keras

Recognize hand-written digits from mnist dataset using multi-class logistic regression

Digit Recognition using CNN and TensorFlow

Handwritten digit classification using data augmentation